NDLI: A fixed-point image denoising algorithm with automatic window selection

Content Provider	IEEE Xplore Digital Library
Author	Maatta, Jussi Siltanen, Samuli Roos, Teemu
Copyright Year	2014
Description	Author affiliation: Helsinki Institute for Information Technology HIIT, Department of Computer Science, University of Helsinki, Finland (Maatta, Jussi; Roos, Teemu) \|\| Department of Mathematics and Statistics, University of Helsinki, Finland (Siltanen, Samuli)
Abstract	A novel image denoising approach based on iterated median filtering is proposed. It is well suited for removing white noise and produces visually pleasing smooth surfaces while preserving edges and without producing artifacts. The denoised image is the fixed point of a nonlinear operator and can be obtained as the limit of a convergent sequence. We show that the sequence converges at an exponential rate. An algorithm implementing the proposed method is described; in addition to the fixed-point iteration, it automatically selects a suitable window and optimizes a scalar parameter based on an assumed noise level. The results of preliminary simulation experiments on well-known test images are presented. While the proposed method does not outperform earlier methods, it offers a theoretically well-understood foundation for future development; promising further research directions are discussed.
Starting Page	1
Ending Page	6
File Size	1410946
Page Count	6
File Format	PDF
ISBN	9781479945726
DOI	10.1109/EUVIP.2014.7018393
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-10
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	PSNR TV Statistical analysis Noise reduction Model selection Nonlinear filters Iterative algorithms Mathematical model Noise measurement Image denoising
Content Type	Text
Resource Type	Article

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